Joint GAMM ANLA-MSIP Workshop 2014

Matrix Computations for Sparse Recovery

Welcome to the Joint GAMM ANLA-MSIP Workshop on Matrix Computations for Sparse
Recovery 2014, which will be held on April 9-11, 2014 at TU Berlin supported by the Matheon

The 21th century is rightfully coined the century of data, and in fact we can
already today witness a rapidly growing importance of research in data analysis
within applied mathematics. A particular focus is on high-dimensional data, which
appear in various application areas -- let us mention exemplarily biology, material
sciences, and imaging in general. Sparsity methodologies, in particular sparse
recovery, have recently revolutionized data analysis in various aspects and in fact
led to a change of paradigm. Although various theoretical aspects of sparse recovery
have already been studied, from a numerical linear algebra standpoint research is
just at its beginning stage. Fast (and adapted) algorithms are in great demand due
to the high complexity of the data.

Therefore the goal of this workshop is to bring together the members of the GAMM
Activity Groups on Applied and Numerical Linear Algebra and Mathematical Signal- and
Image Processing , but even more general welcome all mathematicians working in those
areas. The topical focus
of this workshop is on intersections between those two research areas, in particular
on sparse recovery methodologies in data analysis/processing. We aim to discuss
recent developments, promote dialogues, and foster new developments and
collaborations.